AGRIDRONE
The data platform

India's first drone-grounded crop-risk model.

AGRIDRONE flies for the farmer. Every sortie also carries LiDAR, 5-band multispectral, thermal, and cm-level RGB — and a signed DPDP-compliant consent rider on every acre. The result is the highest-fidelity agricultural ground-truth dataset in India, licensed to crop insurers, reinsurers, FinData desks, and lenders who can't get this resolution from satellite at any price.

5
Sensor bands
$9.1B
Global TAM 2030
90%+
Gross margin
$0.50–$2
Per acre / year
The data layer

Each spray is also a survey.

Every AGRIDRONE flight will carry LiDAR, 5-band multispectral, thermal, and cm-level RGB. The result: the highest-fidelity agricultural ground-truth dataset in India — licensed to crop insurers, reinsurers, and FinData desks who can't get this resolution from satellite at any price.

We capture (per acre)
  • LiDAR canopy structure (sub-decimeter)
  • 5-band multispectral: NDVI · NDRE · EVI · GNDVI · SAVI
  • Thermal anomaly — pest + transpiration stress
  • Cm-level RGB orthomosaic
  • Time-series field record on every revisit
  • Signed DPDP-compliant consent rider on every acre
Who licenses the data
  • Year 1-2India fertilizer cos.
    IFFCO · Coromandel · RCF · NFL · Chambal — for per-acre VRA prescription targeting under ONOF
  • Year 1-2India crop insurance
    ICICI Lombard · Bajaj Allianz · HDFC Ergo · Skymet Risk
  • Year 2-3Global reinsurance
    Munich Re · Swiss Re · Hannover Re
  • Year 2-3FinData / commodity desks
    Bloomberg · MSCI · FactSet
  • Year 3+Lending
    NABARD · Rabobank · agri-NBFC underwriting

Data network effect: more flights → denser dataset → better-priced licenses → more buyers fund more flights. The loop runs only inside our fleet. Cropin uses satellite (10m resolution). SatSure uses satellite. We use drones (sub-decimeter) with a signed farmer consent rider. That's the data nobody else can buy at any price.

Buyer roadmap

The 24-month commercial path.

From first paid sortie to first reinsurer conversation. Months measured from the close of pre-seed funding.

  1. 01Month 4

    First paid sortie

    First Tumkur FPO contract flown, revenue booked.

  2. 02Month 9

    First Indian insurer design partner

    Year-1 buyer onboarded for crop-risk dataset.

  3. 03Month 15

    First reinsurer conversation

    Munich Re / Swiss Re commercial discussions opened.

  4. 04Month 24

    First commodity desk subscription

    Bloomberg / MSCI / FactSet alt-data contract.

Buyer matrix

Four buyer segments. One dataset.

India crop ins.
Year 1-2
ICICI Lombard · Bajaj Allianz · HDFC Ergo · Skymet Risk
$1.00–1.50 / acre / yr
PMFBY underwriting, claims verification, fraud reduction
Global Re
Year 2-3
Munich Re · Swiss Re · Hannover Re
$1.50–2.00 / acre / yr
Crop-loss reinsurance pricing, monsoon catastrophe books
FinData
Year 2-3
Bloomberg · MSCI · FactSet
$0.50–1.00 / acre / yr
Soft-commodity supply forecasting, yield-curve signals
Lending
Year 3+
NABARD · Rabobank · agri-NBFC underwriting
$0.75 / acre / yr
Crop-collateral loan underwriting, dynamic credit limits
Partner API

REST + Parquet drops, weekly cadence.

Buyers integrate via a REST tile API (per-acre query, NDVI / thermal / canopy structure rasters), and weekly Parquet drops for bulk analytics. SOC 2 controls and a signed consent rider accompany every farmer record.

  • REST tile API — query by bounding box, FPO ID, or crop
  • Weekly Parquet drops to customer-owned S3/GCS bucket
  • Webhook on every new sortie ingested
  • Consent rider attached to each row; revocations flow in 24h
Request data access

Buyers, partners, underwriters — let's talk.

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